Moog (MOG-A) Other Non-Current Assets (2009 - 2026)
Moog's Other Non-Current Assets was $79.06 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 39.4% from $56.7 million a year earlier and up 46.8% from the prior quarter.
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Analysis
Moog (MOG-A) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Other Non-Current Assets at Moog came in at $52.5 million, down 0.4% from FY2024.
- Other Non-Current Assets shows a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Assets was $52.7 million in FY2024 (+4.9%), $50.25 million in FY2023 (+31.9%), $38.1 million in FY2022 (+16.2%) and $32.79 million in FY2021 (+86.0%).
- The fiscal Q3 2026 figure marks the highest quarterly Other Non-Current Assets in data going back to fiscal Q4 2009.
- Compared with a year earlier, Other Non-Current Assets was higher in five of the last eight quarters, with growth averaging 8.7%.
- The best year-over-year quarter for Other Non-Current Assets over five years was fiscal Q1 2022 (growth of 93.1%); the worst was fiscal Q2 2026 (a decline of 5.8%).
- Per Business Quant data, MOG-A's Other Non-Current Assets in the three fiscal quarters before Q3 2026 was $53.85 million (Q2 2026), $53.69 million (Q1 2026) and $52.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 15.47 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 5.50 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 4.20 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 7.16 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 240.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 3.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 505.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.49 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 9.47 Bn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 79.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 79.06 Mn |
| Mar 28, 2026 | 53.85 Mn |
| Jan 3, 2026 | 53.69 Mn |
| Sep 27, 2025 | 52.50 Mn |
| Jun 28, 2025 | 56.70 Mn |
| Mar 29, 2025 | 57.15 Mn |
| Dec 28, 2024 | 54.24 Mn |
| Sep 28, 2024 | 52.70 Mn |
| Jun 29, 2024 | 48.89 Mn |
| Mar 30, 2024 | 49.39 Mn |
| Dec 30, 2023 | 53.81 Mn |
| Sep 30, 2023 | 50.25 Mn |
| Jul 1, 2023 | 47.87 Mn |
| Apr 1, 2023 | 48.02 Mn |
| Dec 31, 2022 | 49.27 Mn |
| Oct 1, 2022 | 38.10 Mn |
| Jul 2, 2022 | 34.26 Mn |
| Apr 2, 2022 | 35.57 Mn |
| Jan 1, 2022 | 36.48 Mn |
| Oct 2, 2021 | 32.79 Mn |
API Access
Moog Other Non-Current Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-non-current-assets&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "ticker": "MOG-A", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-assets&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();